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Quantum engineering meets nanoscale data processing: Unleashing the power of light-driven conductivity control – Phys.org

by Kosala Herath and Malin Premaratne , Phys.org

Over the past few decades, the field of data processing and transferring technology has advanced at a rapid pace. This growth can be attributed to Moore's Law, which predicts that the number of transistors on a microchip will double roughly every two years, enabling the semiconductor industry to make electronic devices smaller, faster, and more efficient.

However, electronic interconnections have presented challenges in data transferring due to delays and thermal issues that limit capacity. In an effort to address this issue, researchers have turned to the use of optical waves instead of electronic signals. Optical waves offer significant information-carrying capacity and minimal loss, but the challenge lies in miniaturizing photonic devices as much as electronic components.

Enter plasmonics, a research area that combines microscale photonics and nanoscale electronics to overcome this limitation [1]. Using surface plasmon polaritons (SPPs) to deliver light energy between nanophotonic devices, plasmonics offers a high degree of confinement, overcoming the limitations of conventional dielectric waveguides. With plasmonics, it is possible to manipulate light at the nanoscale and create a world of possibilities for the future of data processing.

However, a significant challenge arises in simultaneously achieving longer propagation lengths and highly confined SPP modes. This is where Floquet engineering comes in. This cutting-edge technology transforms quantum material engineering through high-intensity periodic driving, allowing researchers to manipulate matter in previously considered impossible [2, 3].

To address this challenge, we have proposed a comprehensive theoretical framework that uses quantum electrodynamics coupled with Floquet engineering to enhance the propagation length of SPP modes [4]. By modifying the electrical and optical characteristics of metal nanostructures within plasmonic waveguides, it is possible to enhance SPP propagation lengths significantly.

It was observed that exposing a metallic system to this particular form of light (dressing field) increases the propagation length of SPP (surface plasmon polariton) modes due to an enhancement in the metal's conductivity. This can be explained by the fact that SPPs are created by the collective movements of electrons in the metal, and the metal's energy loss can be attributed to electron scattering. Dressing by the external field modifies the wave functions and, thereby, the rates, which can improve the conductivity and increase the propagation length of SPP modes.

Finally, the plasmonic and conductive properties of popular plasmonic metals, including silver (Ag), gold (Au), copper (Cu), and aluminum (Al), were analyzed under the illumination of a particular form of light using computer simulation based on code specifically written to explore this novel observation. Based on the evaluation, several metals were found be much suited for application due to their controllable conductivity response. This discovery could lead to the development of efficient and advanced nanoscale plasmonic data processing devices, circuits, and components in the near future.

This story is part of Science X Dialog, where researchers can report findings from their published research articles. Visit this page for information about ScienceX Dialog and how to participate.

More information: [1]. Malin Premaratne and Govind P. Agrawal, Theoretical foundations of nanoscale quantum devices, Cambridge University Press (2021). doi.org/10.1017/9781108634472

[2]. Kosala Herath and Malin Premaratne, Generalized model for the charge transport properties of dressed quantum Hall systems, Physical Review B (2022). DOI: 10.1103/PhysRevB.105.035430

[3]. Kosala Herath and Malin Premaratne, Polarization effect on dressed plasmonic waveguides, Emerging Imaging and Sensing Technologies for Security and Defence VII (2022). DOI: 10.1117/12.2635710

[4]. Kosala Herath and Malin Premaratne, Floquet engineering of dressed surface plasmon polariton modes in plasmonic waveguides, Physical Review B (2022). DOI: 10.1103/PhysRevB.106.235422

Kosala Herath is a Ph.D. candidate and a member of the Advanced Computing and Simulations Laboratory (qdresearch.net/) at the Electrical and Computer System Engineering, Monash University, Australia. He received his B.Sc. degree in Electronic and Telecommunication Engineering (with first-class honors) from the University of Moratuwa, Sri Lanka in 2018. Currently, his research focused on the fields of nanoplasmonics, low-dimensional electron transport, and Floquet systems. He is a member of SPIE.

Malin Premaratne earned several degrees from the University of Melbourne, including a B.Sc. in mathematics, a B.E. in electrical and electronics engineering (with first-class honors), and a PhD in 1995, 1995, and 1998, respectively. He has been leading the research program in high-performance computing applications to complex systems simulations at the Advanced Computing and Simulation Laboratory, Monash University, Clayton, since 2004. Currently, he serves as the Vice President of the Academic Board of Monash University and a Full Professor. In addition to his work at Monash University, Professor Premaratne is also a Visiting Researcher at several prestigious institutions, including the Jet- Propulsion Laboratory at Caltech, the University of Melbourne, the Australian National University, the University of California Los Angeles, the University of Rochester New York, and Oxford University. He has published more than 250 journal papers and two books and has served as an associate editor for several leading academic journals, including IEEE Photonics Technology Letters, IEEE Photonics Journal, and OSA Advances in Optics and Photonics. Professor Premaratne's contributions to the field of optics and photonics have been recognized with numerous fellowships, including the Fellow of the Optical Society of America (FOSA), the Society of Photo-Optical Instrumentation Engineers USA (FSPIE), the Institute of Physics U.K. (FInstP), the Institution of Engineering and Technology U.K. (FIET), and The Institute of Engineers Australia (FIEAust).

Journal information: Physical Review B

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Quantum Leap episode 15 Review: Ben Song to the defense – VULKK.com

Ben Song to the defense has Jen, not Ben, shine in the entire episode 15 of Quantum Leap while Ben and Addison take a backseat.

Episode 15 has Ben Song leap into the body of a young woman once again. This time its a public defender. Her name is Aleyda Ramirez and she is defending a young boy who was sentenced before he even went to trial.

But it is up to Ben and Team Quantum Leap in the shape of Jen to help and keep this innocent young man from jail. The police apprehended the boy after he threatened a gang member who was trying to goad his little brother into thug life.

However since there were no witnesses, hes already been convicted before a fair trial happened. Not officially, but when Assistant District Attorney Barnes threatens Ben that if he doesnt take the plea deal, he will put his client away for life.

In the meantime, Ben finds out that Aleyda has a girlfriend named Vicky, who works for the District Attorneys office. Which is an ethics violation and if people ever find out then 100s of cases will have to be reviewed due to conflict of interest. But the 2 love each other so they are willing to take that risk. Whats love without a little risk huh?

Then there is the corrupt A.D.A. Barnes who goes after people with ferocity and doesnt care whether or not the person is innocent or not. Which makes me wonder how he even got the job. Did nobody ask for an ethics test or something? To check if this person is suited for what he is doing. And Vicky is willing to turn a blind eye because she looks up to him.

This poses a problem when Ben notices a page with notes of witnesses who can exonerate Bens client. When Ben confronts Vicky, Vicky storms off and as a gut punch, she says happy anniversary. Because it was the day the 2 got together.

When Ben is in a rut and cant figure out how to keep the kid out of jail. Jen comes up with a story about rabbits drowning in a river. The boy keeps saving the rabbits but quickly figures out that if he goes upstream then he may find the source of the rabbit issues.

On top of that, Vicky and Ben are still not on speaking terms. This saddens Ben because he feels he is messing up his host bodys life. But Vicky has a change of heart and wants to correct her mistake and with the help of Vicky and knowledge of the future, Vicky and Ben took down the ADA for corruption.

The boy who was released eventually became the first college graduate of the family and turned out to be a good lawyer.

This weeks Ben was funny. He was once again a woman and this time a lesbian woman as well. To make the distinction in Ben Song to the Defense, Ben wore classy earrings during the entire episode. And pants suits because no classy lawyer can leave the house without that.

But this whole episode was not about Ben. Ben once again takes a backseat to make Jen shine. This whole weeks episode was about Jen helping Ben and finally shows her wonderful true colors.

Have I mentioned that there is barely any Addison in this weeks episode Ben Song to the defense? This week Jen is the hologram to assist Ben. Its interesting to see a different dynamic other than Addison and Ben. We have seen a plethora of that over the course of the season.

Jen wanted to assist Ben this week and having both Jen and Addison proved too much for Quantum Computer Ziggy. So Addison took the backseat while investigating what happened to Aleyda and Vicky.

And the thing is, the dynamic between the two was quite amazing. I mean, I know Addison and Ben are lovers. And Ben at least has some awareness of his love for Addison, I dont think he knows the full story since he barely remembers Magic. Oh, there we go. Yes, he does. But more about that later.

Jen as a character has been very underused. All we see her do is run intel ops for Team Quantum Leap and we only see the action but not much of the character. In Ben Song to the defense, my view on Jen has changed, and here is why.

In this episode, we get to see Jens amazing character on full display. She is not as much of a goodie two shoe but shes morally gray. Ill give you an example of that.

There was a couple on the show and the husband was jailed. And the bail was quite high too, $50.000. And Jen urges Ben to have the woman go to the race track and bet on a horse. The money won was exactly $50.000 and thus the woman could post bail to free her husband.

This to me shows that Jen is willing to do something dark, gambling, in order to get something good done. This makes Jen the morally gray member of Team Quantum Leap. This is promising for the future. So far we have seen all of them being quite attuned to the light side and Jen is the first character who isnt.

The question will be if Leaper X shows up and puts her in the same situation, what her next action is going to be? Will she screw over Team Quantum Leap in order to get something good done or side with Team Quantum Leap to get Leaper X down?

Also, Leaper X is, of course, Ramirez. As per this episode, the Quantum Reapers are officially named Leaper X by the show. So I guess we will adapt to that name and say farewell to the Quantum Reaper name.

After the story of the rabbits that needed to be saved from the river, Ben quickly figures out who Jen means and it is Magic. And I guess that after Ian, Addison, and Jen, the next episode will feature Magic heavily in order to get the gang ready for the first season finale of the show. With 3 episodes left to go, the show continues to build up momentum for the first finale.

Who knows, the writers may even use a few bits of the episodes to develop Janis Calavicci a bit more. I would regard her as the darkest member of Team Quantum Leap. Even if shes the reserve member and technically jailed, her contributions shaped Team Quantum Leap a lot and she at least deserves a bit more credit by developing her character a little more in the final episodes of the season up until the finale.

Janis character, I would regard that as the darkest one. Her dealings are very shady compared to the rest of them. Blowing up houses, using cyber warfare in order to get things done, and putting odd drugs in her mothers drinks to get her fathers old holo communicator.

The episode Ben Song to the defense was a good episode but once again, Ben takes a backseat and it is Jen that truly shines. And she deserved it after a season of her not even being in the backseat but waiting for the car rather as a figure of speech.

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IBM Quantum System One unveiled at Cleveland Clinic – Crain’s Cleveland Business

Through their 10-year Discovery Accelerator partnership, Cleveland Clinic and IBM have unveiled the IBM-managed quantum computer, billed as the first of its kind in the world dedicated to health care research.

Installed on the Clinic's main campus, the IBM Quantum System One aims to help accelerate biomedical discoveries and is the first deployment of an onsite private sector IBM-managed quantum computer in the United States, according to a news release.

With the Clinic's expertise in health care and life sciences and IBM's expertise in technology, the two organizations each bring different skills and competencies to the partnership, said Ruoyi Zhou, director of the IBM Discovery Accelerator at Cleveland Clinic.

"We have something in common; that is innovation," Zhou said. "And so, when we work together, we identify problems that are really suitable for quantum computing and artificial intelligence."

A rapidly emerging technology, quantum computing harnesses the laws of quantum mechanics to solve problems that are currently impractical or impossible to solve on today's supercomputers. The IBM Quantum System One, which will be made available for use through collaborations at a cost, and its new computational spaces could help researchers discover medicines and treatments more quickly.

For instance, bringing a drug from discovery to a patient can take upwards of 17 to 20 years, said Dr. Serpil Erzurum, the Clinic's chief research and academic officer. This technology can potentially accelerate that timeline to just two to three years, meaning if a patient gets sick and providers know the cause, "this could design the right drug treatment for you," she said.

"And as a physician caregiver, and as you know, a human being and a mom, you want things soon, you don't want to wait for them, right?" she said. "You don't want to wait 20 years."

The Clinic and IBM are both contributing resources to the effort, with the Clinic's cost being part of its $300 million commitment to the Cleveland Innovation District, a $565 million multi-institution, public-private push to create 20,000 jobs and boost research in the city.

The Cleveland Clinic-IBM Discovery Accelerator partnership, announced in 2021, focuses on advancing the pace of biomedical research through the use of high-performance computing, artificial intelligence and quantum computing, according to the release. It serves as the technology foundation for the Clinic's Global Center for Pathogen & Human Health Research, which is part of Cleveland Innovation District.

Through the innovation district overall, the Clinic estimates 1,000 new jobs will be generated at the system by 2029 and an additional 7,500 jobs in Ohio by 2034.

An educational curriculum is being designed for participants from high school to the professional level, offering training and certification programs in data science, machine learning and quantum computing, according to the news release, which notes a "significant part" of the collaboration focuses on job creation, economy growth and educating the workforce of the future.

"We are committed to developing the community ability for digital work," Erzurum said. "If you know how to work in this digital world, your opportunities expand exponentially."

IBM and the Clinic also are hosting research symposia, seminars and workshops intended for academia, industry, government and the public in an effort to build a critical mass of computing specialists in Cleveland, according to the release.

While many universities are teaching artificial intelligence, there aren't enough of those skills in the marketplace, Zhou said. And finding quantum computing skills is very difficult.

"We're looking at how do we build a workforce by partnering with universities, local universities, to develop the quantum skills locally," Zhou said.

To help expedite discoveries in biomedical research, the Discovery Accelerator has generated multiple projects that leverage the latest in quantum computing, AI and hybrid cloud, including, according to the release: developing quantum computing pipelines to screen and optimize drugs targeted to specific proteins, improving a prediction model for cardiovascular risk after non-cardiac surgery and applying AI to search genome sequencing findings and large drug-target databases to find effective, existing drugs that could help patients with Alzheimer's and other diseases.

Accelerating innovation and discovery of new drugs and targeted treatments will "dramatically" bring down costs, Erzurum said.

"So this, to me is a big part of our precision medicine initiative, the affordability of health care and drugs, and the time to treatment, all of which are critical when you have a very terrible disease," she said. "So that is my dream. And I want to see it happen here at the Cleveland Clinic and in Cleveland, Ohio, while I'm still living. I think it'll happen."

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Qubits put new spin on magnetism: Boosting applications of quantum computers – Phys.org

Up and down orientations of qubits at the nodes of a quasicrystal yield multiple magnetic configurations. Different textures can be created by applying different magnetic fields. A D-Wave quantum annealer demonstrated potential for material prototyping, experimenting with actual spins in purposely designed geometries. Credit: Los Alamos National Laboratory

Research using a quantum computer as the physical platform for quantum experiments has found a way to design and characterize tailor-made magnetic objects using quantum bits, or qubits. That opens up a new approach to develop new materials and robust quantum computing.

"With the help of a quantum annealer, we demonstrated a new way to pattern magnetic states," said Alejandro Lopez-Bezanilla, a virtual experimentalist in the Theoretical Division at Los Alamos National Laboratory. Lopez-Bezanilla is the corresponding author of a paper about the research in Science Advances.

"We showed that a magnetic quasicrystal lattice can host states that go beyond the zero and one bit states of classical information technology," Lopez-Bezanilla said. "By applying a magnetic field to a finite set of spins, we can morph the magnetic landscape of a quasicrystal object."

"A quasicrystal is a structure composed by the repetition of some basic shapes following rules different to those of regular crystals," he said.

For this work with Cristiano Nisoli, a theoretical physicist also at Los Alamos, a D-Wave quantum annealing computer served as the platform to conduct actual physical experiments on quasicrystals, rather than modeling them. This approach "lets matter talk to you," Lopez-Bezanilla said, "because instead of running computer codes, we go straight to the quantum platform and set all the physical interactions at will."

Lopez-Bezanilla selected 201 qubits on the D-Wave computer and coupled them to each other to reproduce the shape of a Penrose quasicrystal.

Since Roger Penrose in the 1970s conceived the aperiodic structures named after him, no one had put a spin on each of their nodes to observe their behavior under the action of a magnetic field.

"I connected the qubits so all together they reproduced the geometry of one of his quasicrystals, the so-called P3," Lopez-Bezanilla said. "To my surprise, I observed that applying specific external magnetic fields on the structure made some qubits exhibit both up and down orientations with the same probability, which leads the P3 quasicrystal to adopt a rich variety of magnetic shapes."

Manipulating the interaction strength between qubits and the qubits with the external field causes the quasicrystals to settle into different magnetic arrangements, offering the prospect of encoding more than one bit of information in a single object.

Some of these configurations exhibit no precise ordering of the qubits' orientation.

"This can play in our favor," Lopez-Bezanilla said, "because they could potentially host a quantum quasiparticle of interest for information science." A spin quasiparticle is able to carry information immune to external noise.

A quasiparticle is a convenient way to describe the collective behavior of a group of basic elements. Properties such as mass and charge can be ascribed to several spins moving as if they were one.

More information: Alejandro Lopez-Bezanilla, Field-induced magnetic phases in a qubit Penrose quasicrystal, Science Advances (2023). DOI: 10.1126/sciadv.adf6631. http://www.science.org/doi/10.1126/sciadv.adf6631

Journal information: Science Advances

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Qubits put new spin on magnetism: Boosting applications of … – Science Daily

Research using a quantum computer as the physical platform for quantum experiments has found a way to design and characterize tailor-made magnetic objects using quantum bits, or qubits. That opens up a new approach to develop new materials and robust quantum computing.

"With the help of a quantum annealer, we demonstrated a new way to pattern magnetic states," said Alejandro Lopez-Bezanilla, a virtual experimentalist in the Theoretical Division at Los Alamos National Laboratory. Lopez-Bezanilla is the corresponding author of a paper about the research in Science Advances.

"We showed that a magnetic quasicrystal lattice can host states that go beyond the zero and one bit states of classical information technology," Lopez-Bezanilla said. "By applying a magnetic field to a finite set of spins, we can morph the magnetic landscape of a quasicrystal object."

"A quasicrystal is a structure composed by the repetition of some basic shapes following rules different to those of regular crystals," he said.

For this work with Cristiano Nisoli, a theoretical physicist also at Los Alamos, a D-Wave quantum annealing computer served as the platform to conduct actual physical experiments on quasicrystals, rather than modeling them. This approach "lets matter talk to you," Lopez-Bezanilla said, "because instead of running computer codes, we go straight to the quantum platform and set all the physical interactions at will."

The ups and downs of qubits

Lopez-Bezanilla selected 201 qubits on the D-Wave computer and coupled them to each other to reproduce the shape of a Penrose quasicrystal.

Since Roger Penrose in the 1970s conceived the aperiodic structures named after him, no one had put a spin on each of their nodes to observe their behavior under the action of a magnetic field.

"I connected the qubits so all together they reproduced the geometry of one of his quasicrystals, the so-called P3," Lopez-Bezanilla said. "To my surprise, I observed that applying specific external magnetic fields on the structure made some qubits exhibit both up and down orientations with the same probability, which leads the P3 quasicrystal to adopt a rich variety of magnetic shapes."

Manipulating the interaction strength between qubits and the qubits with the external field causes the quasicrystals to settle into different magnetic arrangements, offering the prospect of encoding more than one bit of information in a single object.

Some of these configurations exhibit no precise ordering of the qubits' orientation.

"This can play in our favor," Lopez-Bezanilla said, "because they could potentially host a quantum quasiparticle of interest for information science." A spin quasiparticle is able to carry information immune to external noise.

A quasiparticle is a convenient way to describe the collective behavior of a group of basic elements. Properties such as mass and charge can be ascribed to several spins moving as if they were one.

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Qubits put new spin on magnetism: Boosting applications of ... - Science Daily

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Overcoming Supply Chain Challenges with Quantum Computing – NASSCOM Community

The global supply chain is an intricate web of interconnected businesses and organizations that spans the world. It plays a critical role in ensuring that goods and services are delivered to customers on time and at the right price. However, the supply chain is not without its challenges. From unpredictable demand to logistical issues, there are many factors that can disrupt the flow of goods and services. Fortunately, quantum computing is emerging as a technology that can help address many of these challenges. In this article, we will explore how quantum computing can help overcome supply chain challenges and revolutionize the industry.

Supply Chain Challenge

Quantum Computing Application

Benefits

Demand Volatility

Quantum demand forecasting algorithms

Improved forecasting accuracy, better inventory management, and pricing decisions

Logistics

Route optimization algorithms

Reduced delivery times and costs, improved customer satisfaction, and reduced environmental impact

Supply Chain Optimization

Quantum optimization algorithms

Reduced costs and improved delivery times by identifying bottlenecks and inefficiencies in the entire supply chain

Before we delve into how quantum computing can help the supply chain, let's first understand what quantum computing is. Quantum computing is a type of computing that uses quantum mechanics principles to perform calculations. Unlike traditional computing that uses bits to represent information as 0 or 1, quantum computing uses quantum bits (qubits) to represent information as a 0, 1, or a superposition of both. This allows quantum computers to perform complex calculations at a much faster rate than traditional computers.

One of the biggest challenges that the supply chain faces is demand volatility. Businesses often struggle to accurately forecast demand, which can lead to excess inventory or stockouts. This can result in increased costs and lost revenue. Another challenge is logistics. With global supply chains, the movement of goods and services can be complex and difficult to manage. This can lead to delays, lost or damaged goods, and increased costs.

Quantum computing can help address many of the challenges that the supply chain faces. Let's look at a few examples:

Quantum computing can help improve demand forecasting accuracy by analyzing vast amounts of data in real-time. By using quantum algorithms, businesses can identify patterns and trends that traditional computing would not be able to detect. This can help businesses make better decisions about inventory management, pricing, and promotions.

Logistical challenges can be addressed through route optimization. Quantum computing can analyze multiple variables such as traffic, weather, and shipping costs to find the most efficient route for goods and services. This can help reduce delivery times and costs, improve customer satisfaction, and reduce environmental impact.

Quantum computing can also help optimize the entire supply chain. By analyzing data from suppliers, manufacturers, and distributors, businesses can identify bottlenecks and inefficiencies. This can help reduce costs and improve delivery times.

While quantum computing has the potential to revolutionize the supply chain, there are also challenges that need to be addressed. One challenge is the lack of talent with expertise in quantum computing. As a relatively new field, there are currently few experts in the field. Another challenge is the high cost of quantum computing. While the cost of quantum computing is decreasing, it is still expensive compared to traditional computing.

Quantum computing has the potential to overcome many of the challenges faced by the supply chain. By improving demand forecasting, optimizing routes, and analyzing data, businesses can reduce costs and improve customer satisfaction. However, the challenges of quantum computing need to be addressed, including the lack of expertise and the high cost. With continued advancements in quantum computing, it is expected to play an increasingly important role in the supply chain and revolutionize the industry.

Keeping your fulfillment process steady is made easier with the use of technology for effective business solutions. Get in touch with Aeologic Technologies right away to see how it can benefit your company.

The global supply chain is an intricate web of interconnected businesses and organizations that spans the world. It plays a critical role in ensuring that goods and services are delivered to customers on time and at the right price. However, the supply chain is not without its challenges. From unpredictable demand to logistical issues, there are many factors that can disrupt the flow of goods and services. Fortunately, quantum computing is emerging as a technology that can help address many of these challenges. In this article, we will explore how quantum computing can help overcome supply chain challenges and revolutionize the industry.

Supply Chain Challenge

Quantum Computing Application

Benefits

Demand Volatility

Quantum demand forecasting algorithms

Improved forecasting accuracy, better inventory management, and pricing decisions

Logistics

Route optimization algorithms

Reduced delivery times and costs, improved customer satisfaction, and reduced environmental impact

Supply Chain Optimization

Quantum optimization algorithms

Reduced costs and improved delivery times by identifying bottlenecks and inefficiencies in the entire supply chain

Before we delve into how quantum computing can help the supply chain, let's first understand what quantum computing is. Quantum computing is a type of computing that uses quantum mechanics principles to perform calculations. Unlike traditional computing that uses bits to represent information as 0 or 1, quantum computing uses quantum bits (qubits) to represent information as a 0, 1, or a superposition of both. This allows quantum computers to perform complex calculations at a much faster rate than traditional computers.

One of the biggest challenges that the supply chain faces is demand volatility. Businesses often struggle to accurately forecast demand, which can lead to excess inventory or stockouts. This can result in increased costs and lost revenue. Another challenge is logistics. With global supply chains, the movement of goods and services can be complex and difficult to manage. This can lead to delays, lost or damaged goods, and increased costs.

Quantum computing can help address many of the challenges that the supply chain faces. Let's look at a few examples:

Quantum computing can help improve demand forecasting accuracy by analyzing vast amounts of data in real-time. By using quantum algorithms, businesses can identify patterns and trends that traditional computing would not be able to detect. This can help businesses make better decisions about inventory management, pricing, and promotions.

Logistical challenges can be addressed through route optimization. Quantum computing can analyze multiple variables such as traffic, weather, and shipping costs to find the most efficient route for goods and services. This can help reduce delivery times and costs, improve customer satisfaction, and reduce environmental impact.

Quantum computing can also help optimize the entire supply chain. By analyzing data from suppliers, manufacturers, and distributors, businesses can identify bottlenecks and inefficiencies. This can help reduce costs and improve delivery times.

While quantum computing has the potential to revolutionize the supply chain, there are also challenges that need to be addressed. One challenge is the lack of talent with expertise in quantum computing. As a relatively new field, there are currently few experts in the field. Another challenge is the high cost of quantum computing. While the cost of quantum computing is decreasing, it is still expensive compared to traditional computing.

Quantum computing has the potential to overcome many of the challenges faced by the supply chain. By improving demand forecasting, optimizing routes, and analyzing data, businesses can reduce costs and improve customer satisfaction. However, the challenges of quantum computing need to be addressed, including the lack of expertise and the high cost. With continued advancements in quantum computing, it is expected to play an increasingly important role in the supply chain and revolutionize the industry.

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Call for Papers: ASCR Workshop on Quantum Computing and … – insideHPC

May 17, 2023 The Advanced Scientific Computing Research (ASCR) program in the US Department of Energy (DOE) Office of Science is organizing a workshop to identify priority research directions in quantum computing and networking to better position ASCR to realize the potential of quantum technologies in advancing DOE science applications.

Key deadlines:

DOE point of contact: Tom Wong (Thomas.Wong@science.doe.gov)

The mission of the ASCR is to advance applied mathematics and computer science research; deliver the most sophisticated computational scientific applications in partnership with disciplinary science; advance computing and networking capabilities; and develop future generations of computing hardware and software tools in partnership with the research community, including U.S. industry. ASCR supports computer science and applied mathematics activities that provide the foundation for increasing the capability of the national high-performance computing ecosystem and scientific data infrastructure. ASCR encourages focus on long-term research to develop intelligent software, algorithms, and methods that anticipate future hardware challenges and opportunities as well as science needs (http://science.energy.gov/ascr/research/).

ASCR has been investing in quantum information science (QIS) since 2017. ASCRs QIS investments span a broad scope of research in quantum computing and quantum networking with investments in quantum algorithms and mathematical methods; the creation of a suite of traditional software tools and techniques including programming languages, compilers, and debugging; quantum edge computing; and quantum applications such as machine learning. ASCR is also funding quantum hardware research and quantum testbeds: two quantum computing testbeds are available at Sandia National Laboratories (SNL) and at Lawrence Berkeley National Laboratory (LBNL) to external collaborators, and two quantum internet testbeds are being developed by LBNL and by a collaboration between Oak Ridge National Laboratory (ORNL) and Los Alamos National Laboratory (LANL). More information about ASCR QIS investments can be found here:https://science.osti.gov/Initiatives/QIS.

ASCR research into quantum computing and quantum networking technologies is making rapid progress, and specialized systems are now commercially available. It is important for ASCR to understand the potential of these new and radically different technologies relative to conventional computing systems and for DOE-relevant applications. However, ASCR is not interested in exploring the underlying, specific device technologies at this workshop. This workshop will focus on the following two exploration areas:

The workshop will be structured around a set of breakout sessions, with every attendee expected to participate actively in the discussions. Afterward, workshop attendees from DOE National Laboratories, industry, and academia will produce a report for ASCR that summarizes the findings made during the workshop.

Invitation

We invite community input in the form of two-page position papers that identify and discuss key challenges and opportunities in quantum computing and networking. In addition to providing an avenue for identifying workshop participants, these position papers will be used to shape the workshop agenda, identify panelists, and contribute to the workshop report. Position papers should not describe the authors current or planned research, contain material that should not be disclosed to the public, nor should they recommend specific solutions or discuss narrowly focused research topics. Rather, they should aim to improve the communitys shared understanding of the problem space, identify challenging research directions, and help to stimulate discussion.

One author of each selected submission will be invited to participate in the workshop.

By submitting a position paper, authors consent to have their position paper published publicly.

Authors are not required to have a history of funding by the ASCR Computer Science program.

Submission Guidelines

Position Paper Structure and Format

Position papers should follow the following format:

Each position paper must be no more than two pages including figures and references. The paper may include any number of authors but contact information for a single author who can represent the position paper at the workshop must be provided with the submission. There is no limit to the number of position papers that an individual or group can submit. Authors are strongly encouraged to follow the structure previously outlined. Papers should be submitted in PDF format using the designated page on the workshop website.

Areas of Emphasis

We are seeking submissions aimed at various levels of broadly scoped quantum computing and networking stacks:

While the program committee has identified the above topics as important areas for discussion, we welcome position papers from the community that propose additional topics of interest for discussion at the workshop.

Selection

Submissions will be reviewed by the workshops organizing committee using criteria of overall quality, relevance, likelihood of stimulating constructive discussion, and ability to contribute to an informative workshop report. Unique positions that are well presented and emphasize potentially-transformative research directions will be given preference.

Organizing Committee

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More diversity and inclusion needed in quantum computing – The London School of Economics and Political Science

After Jeremy Hunts Budget announcement of a 10-year programme to invest 2.5bn in quantum computing to keep the country at the forefront of a global industry, The Inclusion Initiative at LSE released a briefing which describes how firms can make sure that they embrace both Diversity & Inclusion for the betterment of their business.

The quantum sector is at the forefront of technology, dealing with some of the worlds most pressing issues, such as energy provision and supply chain logistics. It relies on its workforce to be innovative and creative. However, diversity is lacking: only 1 in 54 applicants for quantum roles are female, while 80% of quantum companies do not have a senior female figure, according to search firm Quantum Futures.

The City Quantum Summit briefing, by Cecily Josten, Dr Grace Lordan and Karina Robinson, calls for the importance of debiasing search and hiring, encouraging task-based assessments to overcome affinity-based hiring from over-relying on interviews. It also asks that Diversity & Inclusion is treated like any other major business priority. Finally, the briefing states that the quantum sector needs to invest in upskilling leaders in inclusive leadership, so that every leader ensures that all colleagues get equal opportunities, visibility and voice.

Karina Robinson, Founder of The City Quantum Summit and Senior Advisor to Multiverse Computing, said: The future of inclusion in quantum comes down to collaboration measuring success, measuring failure and sharing that with other firms to learn from each other. Without that, we are likely to repeat the mistakes of the past.

Dr Grace Lordan, Director of the Inclusion Initiative and author of Think Big, said: Quantum computing will play a big role in shaping our world in the future. It is important that the world is shaped by people with different perspectives and backgrounds. Women are few and far between in the sector right now: we need to change this.

Cecily Josten, TII Researcher, said: The quantum industry is missing out on talent, innovation and productivity without diverse hiring and being inclusive employers.

whurley, Founder of Strangeworks, said: Providing equal access and equal opportunities will make the difference between humanitys future being diverse or dystopian.

Denise Ruffner, President of DiviQ: This study is a great summary of the problems and solutions to bring diversity into the quantum industry.

Denise Wilson OBE, CEO at FTSE Women Leaders Review, said: D&I must be owned and held accountable at Board level.

This briefing paves the way for The Inclusion Initiatives future research focus on Diversity & Inclusion in a quantum sector forecast to be worth up to $10 billion by 2027.

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How will the UK develop quantum computer regulation? – Tech Monitor

In its National Quantum Strategy, which includes 2.5bn of funding, as well as plans for research zones and skills training, the government announced it will establish a regulatory framework that supports innovation and the ethical use of quantum technologies. This needs to be stable, agile, simple and ethical while also protecting UK capabilities and national security. One expert told Tech Monitor the focus should be on legislating for post-quantum cryptography before the UK is left behind.

Quantum computing is a potentially transformative technology, once fully realised it has the potential to change our understanding of the universe, the human brain and tackle problems like climate change. But it also comes with risk, including the potential to easily crack encryption and change warfare.

Governments around the world are investing heavily in quantum technology with China leading the world in terms of direct national-level funding followed by the EU and now the UK. Billions of dollars worth of venture capital, private investment and university research funding are also being put into the technology.

Last year Stanford Universitys Professor Mauritz Kop declared that we need to learn from our mistakes made around the regulation of AI before its too late and said quantum computing has the potential to be more dangerous than artificial intelligence without sufficient regulation.

In its National Quantum Strategy the government says it is important to engage early in the debates that will shape the future regulation of quantum technology. Early work will help to identify potential risks with the use of the new technology and develop new shared taxonomies, languages and principles to guide development.

Eventually new standards, benchmarking and assurance frameworks will increase in importance to facilitate technological development as use cases become more evident, helping to set requirements for interoperability and to measure performance within key sectors, the strategy says.

It includes a commitment to put innovation, business growth and the ethical use of quantum technologies at the heart of the UK economy while also trialing technologies within the UK through regulatory testbeds and sandboxes, as well as working with likeminded partners around the world to shape norms and standards as the technology evolves and becomes more mainstream.

A lot of the commitment is outward facing, with the strategy calling for the UK to play a role in the World Trade Organisation, the World Economic Forum, the G7, the G20, OECD, NATO, the Council of Europe, the Commonwealth and the UN, including utilising the UK seat on the International Telecommunications Union (ITU) to ensure that quantum regulation supports UK business and innovation, that the UKs wider prosperity, security and defence interests are represented and that we continue to uphold the UKs values including those on human rights.

The government also outlined proposals to ensure the economy and national security are protected including working with likeminded allies to monitor and review current and future controls including through export regimes, security goals and IP protection.

The plan is also to ensure the National Cyber Security Centre (NCSC) continues to publish guidance on the transition to quantum-safe cryptography. "In terms of Government's own preparedness, mitigations have already been put in place for critical information and services," the report declares with specific recommendations to follow the US NIST process.

There will also be work on technical standards, including through quantum safe cryptography in partnership with the ISO, IEC and ITU and efforts on building assurance frameworks for the use of these technologies as they mature. Much of this is following the pattern set out for regulation of artificial intelligence, including sandboxes, standards and regulator-led guidelines.

"The Chancellor bolstered the UK technology strategy with the 2.5bn 'Plan for Quantum', but the writing is on the wall: the extraordinary processing power of quantum computers will have a catastrophic impact on digital systems unless we begin a cryptographic transition now, Tim Callan, chief experience officer at digital identity and security company Sectigo told Tech Monitor.

IT leaders need to start paying attention today to the upcoming threat of quantum computing and preparing their organisations to upgrade to new post quantum cryptography in order to head off, or at least mitigate, the damage.

As well as the promise of investment in research, promotion of greater compute power and regulation, the National Quantum Strategy also promises 15m of direct funding to enable government to act as an intelligent, early customer of quantum technologies, which James Sanders, principal analyst for cloud and infrastructure at CCS Insight said needs greater articulation as currently there are unlikely to be many circumstances where a quantum computer can be used by the government to find efficiency or optimisation that couldnt be done with a classical machine

In terms of regulation, Sanders says it falls under two different priorities: export restriction and intellectual property protection. The first is similar to the approach seen with the export of precision semiconductor manufacturing technology as well as export of advanced GPUs for AI model training, which he says are two aspects prioritised today by the US government.

Ben Packman, head of strategy at UK post-quantum cryptography company, PQShield, says quantum technology is developing at speed around the world, and that more up-front funding will be required for the UK to maintain its leadership position in the sector. Any delays could leave the door open for others to overtake us, which is a real problem if youre thinking about the UKs adversaries developing a quantum computer intended for malicious purposes, he says.

Private and public partnerships are required to protect against this, and other risks associated with the technology, including the adoption of legislative and policy updates. The US has the Quantum Computing Cybersecurity Preparedness Act but, in the UK, this new strategy is light when it comes to mitigating the risks associated with quantum, says Packman.

He said that while regulators are already engaging with industry and academics across the quantum value chain to build a regulatory framework, the UK is behind when it comes to cryptography legislation. The US has already actively legislated for quantum-safe cryptography, and where the US National Security Agency (NSA) has issued a very specific set of guidance and timelines in its CNSA 2.0 framework," he says. "Wed like to see the UK match and even go beyond this if it is to become a true quantum superpower.

Many British companies, including PQShield, are contributing to the cryptographic standards considered as part of the NIST review. The outcome of this will set the global standard for post-quantum cryptography, including algorithms used across industry and government.

Wed like to see the UKs quantum achievements shouted about from the very top, Packman adds. The government also needs to align all its departments on the same path, including bodies like GCHQ and the National Cyber Security Centre (NCSC) and MI5s newly-created National Protective Security Authority (NPSA).

"The strategy doesnt mention the DRCF or Digital Catapult and how they can support the wider quantum strategy. It seems to me that both schemes could play a relevant role, so it would be good to see the dots being connected at a strategic level.

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D-Wave Launches New Hybrid Solver Plug-In for Feature Selection … – HPCwire

PALO ALTO, Calif. and BURNABY, British Columbia, March 20, 2023 D-Wave Quantum Inc., a leader in quantum computing systems, software, and services and the worlds first commercial supplier of quantum computers, today introduced a new hybrid solver plug-in for feature selection as part of its focus on helping companies leverage quantum technology to streamline development of machine learning (ML) applications. D-Waves new hybrid solver plug-in for the Ocean SDK enables developers to more easily incorporate quantum into feature selection/ML workflows. Built to integrate seamlessly with scikit-learn, an industry-standard, state-of-the-art ML library for Python, the new hybrid solver plug-inis available today for developers to download and use in ML projects.

The launch comes at a time when companies are rapidly turning to technologies like AI and ML to navigate increasing complexity in the enterprise. According to IDC, 78% of organizations believe that AI-driven projects have significant or very significant impact on business outcomes.

Emerging AI/ML technology for feature discovery and reuse can facilitate faster time-to-business value, synthesizing information across the enterprise, said Kathy Lange, Research Director for IDCs AI and Automation.

The new Ocean plug-in makes it easier to use D-Waves hybrid solvers for the feature selection piece of ML workflows. Feature selection a key building block of machine learning is the problem of determining a small set of the most representative characteristics to improve model training and performance in ML. With the new plug-in, ML developers need not be experts in optimization or hybrid solvingtoget the business and technical benefits of both. Developers creating feature selection applications can build a pipeline withscikit-learn and then embed D-Waves hybrid solvers into this workflowmore easily and efficiently.

Were hearing from customers that the combination of quantum hybrid solutions with feature selection in AI/ML model training is important for accelerating business impact, said Murray Thom, vice president of quantum business innovation at D-Wave. This plug-in represents yet another example of how D-Wave is facilitating quantum ML workstreams and making it easy to incorporate optimization in feature selection efforts.

By abstracting away the optimization formulations, the new plug-in helps developers to easily incorporate feature selection tools with less required development time or ramp up and faster time-to-value. Regardless of their familiarity with quantum technology, developers can get started today by signing up for the Leap quantum cloud service for free, installing the plug-in and viewing the demo and examples. Those seeking a more collaborative approach and assistance with building a production application can reach out to D-Wave directlyand also explore the feature selection offering inAWS Marketplace.

For more information about using the power of hybrid quantum in feature selection and machine learning workflows,registerfor our upcoming webinar on April 3, 2023 at 12pm ET.

About D-Wave Quantum Inc.

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the worlds first commercial supplier of quantum computersand the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Waves technology is being used by some of the worlds most advanced organizations, including Volkswagen, Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jlich, University of Southern California, and Los Alamos National Laboratory.

Source: D-Wave

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